Samsung Galaxy S23
Geekbench AI Score
272
Single Precision Score
16136
Half Precision Score
36490
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Deeepy |
| Upload Date | June 05 2025 07:17 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S23 |
| Model ID | samsung SM-S911B |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
162
30.1 IPS |
|
|
Image Classification (HP)
|
100% |
12509
2.33 KIPS |
|
|
Image Classification (Q)
|
97% |
32214
6.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
7496
121.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20916
340.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
290
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
72512
84.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
293221
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
11847
939.7 IPS |
|
|
Object Detection (Q)
|
86% |
13335
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (HP)
|
100% |
24028
285.5 IPS |
|
|
Face Detection (Q)
|
97% |
84240
1.00 KIPS |
|
|
Depth Estimation (SP)
|
100% |
382
2.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
44697
344.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
81332
761.6 IPS |
|
|
Style Transfer (SP)
|
100% |
682
0.88 IPS |
|
|
Style Transfer (HP)
|
98% |
60827
78.4 IPS |
|
|
Style Transfer (Q)
|
98% |
292867
377.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
173
6.39 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32600
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81976
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
196
261.4 IPS |
|
|
Text Classification (HP)
|
100% |
2525
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5632
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
356
6.12 IPS |
|
|
Machine Translation (HP)
|
100% |
2763
47.6 IPS |
|
|
Machine Translation (Q)
|
55% |
1715
44.9 IPS |
